IGERT Formal Proposal: Multidisciplinary Training Program in Computational Analysis of Social and Organizational Systems

该综合研究生教育和研究培训（IGERT）奖支持建立社会和组织系统计算分析（CASOS）的教育和研究的多学科研究生培训计划。在过去的十年中，计算社会科学（例如，计算组织理论）和社会计算机科学（例如，多代理系统）已经出现。这导致了对群体、组织、机构和社会作为智能自适应代理的统一观点，这些智能自适应代理由社会嵌入式、智能和自适应代理的网络组成，这些代理可以被计算和社会复杂的模型和代理推理和支持。CASOS计划将通过教他们如何使用计算机来理解人类行为的复杂性，以及如何使用人类作为社会行为者的知识来改进计算代理，为学生做好这一领域的准备。计划特点包括：综合社会和计算机科学课程;工作室课程，强调现实世界的企业关注，模型设计，实施和验证;辅导计划;研究实习，建议竞争;远程学习;和综合夏季讲习班和会议。课程和研究将在未来的教室/办公室进行-一个分布式智能空间，人们可以随时随地访问并在无限的代理网络（人、网络机器人、机器人、公司等）中向任何人提供/接收信息;因此，减少课堂/研究的障碍，使实时计算分析，数据收集和模型验证，并增加与教师和学生在其他institutions.IGERT是一个NSF范围内的计划，旨在促进创新，研究为基础的研究生课程，将培养一个多元化的科学家和工程师群体做好充分准备，以利用广泛的职业选择的建立。IGERT为博士机构提供了一个开发新的，重点突出的多学科研究生课程的机会，这些课程超越了组织界限，并将来自多个部门或机构的教师联合起来，为培训和研究建立一个高度互动，协作的环境。在该计划的第二年，该奖项将颁发给21个机构，这些机构的项目涵盖了NSF支持的所有科学和工程领域。该奖项由社会，行为和经济科学，计算机和信息科学与工程以及教育和人力资源局的资金支持。

This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of a multidisciplinary graduate training program of education and research in Computational Analysis of Social and Organizational Systems (CASOS). In the past decade the computational social sciences (e.g., computational organization theory) and the social computer sciences (e.g., multi-agent systems) have emerged. This has resulted in a unified perspective on groups, organizations, institutions and societies as intelligent adaptive agents composed of networks of socially-embedded, intelligent and adaptive agents that can be reasoned about, and supported by, computationally and socially sophisticated models and agents. The CASOS program will prepare students for this field by teaching them how to use computers to understand the complexities of human behavior and how to use knowledge of humans as social actors to improve computational agents. Program features include: integrated social and computer science curriculum; studio courses emphasizing real-world corporate concerns, model design, implementation and validation; mentoring program; research practicum, proposal competition; distance learning; and integrated summer workshop and conference. Classes and research will take place in the classroom/office of the future -- a distributed intelligent space where people have ubiquitous access to and can provide/receive information wherever, whenever and to/from whomever they want in an unbounded network of agents (human, webbots, robots, corporations, etc.); thus, reducing classroom/research barriers, enabling real-time computational analysis, data collection, and model validation, and increasing interaction with faculty and students at other institutions.IGERT is an NSF-wide program intended to facilitate the establishment of innovative, research-based graduate programs that will train a diverse group of scientists and engineers to be well-prepared to take advantage of a broad spectrum of career options. IGERT provides doctoral institutions with an opportunity to develop new, well-focussed multidisciplinary graduate programs that transcend organizational boundaries and unite faculty from several departments or institutions to establish a highly interactive, collaborative environment for both training and research. In this second year of the program, awards are being made to twenty-one institutions for programs that collectively span all areas of science and engineering supported by NSF. This specific award is supported by funds from the Directorates for Social, Behavioral, and Economic Sciences, for Computer and Information Science and Engineering, and for Education and Human Resources.